Non Linear Proper Generalized Decomposition method applied to the magnetic simulation of a SMC microstructure

Thomas Henneron (1) , Abdelkader Benabou (1) , Stéphane Clenet (1)

1 L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697

Improvement of the magnetic performances of Soft Magnetic Composites (SMC) materials requires to link the microstructures to the macroscopic magnetic behavior law. This can be achieved with the FE method using the geometry reconstruction from images of the microstructure. Nevertheless, it can lead to large computational times. In that context, the Proper Generalized Decomposition (PGD), that is an approximation method originally developed in mechanics, and based on a finite sum of separable functions, can be of interest in our case. In this work, we propose to apply the PGD method to the SMC microstructure magnetic simulation. A non-linear magnetostatic problem with the scalar potential formulation is then solved.

Mots clés: Soft Magnetic Composites; Non Linear Proper Generalized Decomposition; SMC; PGD

Domaines: Electromagnétisme

Thomas Henneron, Abdelkader Benabou, Stéphane Clenet. Non Linear Proper Generalized Decomposition method applied to the magnetic simulation of a SMC microstructure. IEEE Transactions on Magnetics, 2012, 48 (11), pp.3242 - 3245. ⟨10.1109/TMAG.2012.2196421⟩. ⟨hal-00955989⟩